code: def transform_df(df, col_name="LABEL0"):
      df_res = df["feature"]
      df_res[col_name] = df["label"]
      return df_res
  
imports: from pathlib import Path
  from typing import Union
  import numpy
  import pandas
  import tensorflow.compat.v1
  import data_formatters.base
  import expt_settings.configs
  import libs.hyperparam_opt
  import libs.tft_model
  import libs.utils
  import os
  import datetime
  from qlib.model.base import ModelFT
  from qlib.data.dataset import DatasetH
  from qlib.data.dataset.handler import DataHandlerLP
label_desc: Use image node_id 6 for calling a global function with example usage: transform_df(df, col_name) and returns: df_res